Pytorch_Face_Recognition-
Pytorch_Face_Recognition- copied to clipboard
performance drop when train on self-processed dataset.
when reproducing the model, I used retina to detect the landmarks and aligned by mtcnn, crop to 112 on the CASIA and LFW,
the accuracy on LFW is 98.xx %, could not achieve the 99.xx%.
Could u give the preprocessing code ? or is there any special step I ignored?